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🇳🇮 Nicaragua's Progress and Recent Impact

Nicaragua's Progress and Recent Impact

✨ Key Insights

High Per Capita Emissions

Nicaragua's recent greenhouse gas emissions data reveals a per capita emission rate of 5.817 tonnes per year, placing it in the "high" category. This level of emissions is significant, especially when considering the global push towards reducing per capita emissions to near zero. The high per capita emissions are largely driven by the agricultural sector, particularly livestock, which contributes substantially to methane emissions. The expansion of livestock production, notably cattle, has been a key factor in this trend, as highlighted by the increased methane emissions from enteric fermentation and manure management.

Land Use and CO₂ Emissions

Land-use changes are a major contributor to Nicaragua's CO₂ emissions, with deforestation and soil disturbance playing significant roles. The historical expansion of agriculture, including the coffee and sugarcane industries, has led to substantial land-use changes, increasing CO₂ emissions. The country's CO₂ emissions from land use and land-use change account for nearly half of its total greenhouse gas emissions. Efforts to mitigate these emissions are crucial, as they represent a significant portion of the country's overall emissions profile.

Positive Trends in Renewable Energy

On a positive note, Nicaragua has made strides in renewable energy initiatives, which have likely contributed to a reduction in CO₂ emissions from fossil fuels. The country's investment in wind and solar power projects since 2013 has been a step towards decreasing reliance on oil and gas for electricity generation. These efforts are part of a broader strategy to reduce the carbon footprint and transition towards more sustainable energy sources. While the impact of these initiatives on overall emissions is not quantified, they represent a promising direction for future emissions reductions.

Background

Recent per Capita Emissions

The Recent per Capita Emissions are a crucial indicator of a nation's greenhouse gas emissions. They are a fair measure for comparing the emissions of nations, taking into account the size of their populations.

Because any greenhouse gas emissions above 0 cause warming, the per capita emissions shouldn't be judged against the global average; they should be compared based on how far they are above 0. Therefore, our rating scale is:

  • Extremely High: above 10 tonnes per capita per year
  • Very High: above 7.5 tonnes
  • High: above 5 tonnes
  • Moderate: above 2.5 tonnes
  • Low: above 0 tonnes
  • Negative Emissions: under 0

The per capita emissions should be close to zero for each country, indicated here by the green & low areas.

Last Year Emissions

This is the total amount of CO2, CH4, N2O, and F-Gases emissions of a nation in 2023 (last available year in the data) expressed in megatonnes of CO2-equivalents. The gases have different atmospheric lifetimes (decay) and warming effects, for this reason, we use the GWP100 (100 year time horizon method) to calculate the global warming potential of CH4, N2O, and F-Gases to express them in CO2-equivalents.

Wikipedia: Global Warming Potential

Last Year Share

This is a nation's share of the global emissions in 2023 (last available year in the data). For many countries this value can be quite small, especially when compared to nations like United States or China. It is easy and dangerous to jump to the conclusion that small shares of emissions don't matter. They matter as a group. Even small emitters can account for a significant amount of total emissions. Consider the following examples:

  • 24 nations, each between 0.5 and 1.5% of the total emissions, make up 20% of the total emissions.
  • 27 nations, each between 0.5 and 2% of the total emissions, make up 25% of the total emissions.
  • 162 nations with a share below 0.5% make up 15% of the total.
  • 3 nations, make 44% of the total emissions: China, United States and India. However, China and India together have a population of about 2.9 billion.

Per Capita Emissions are therefore the most crucial indicator to represent the impact of a nation regardless of its size.

Yearly Emissions Trend

This is a nation's trend per year over the last 10 years. It is a good indicator of the trajectory of national emissions and can be used as a simple framework to judge a nation's trend vs. international goals:

  • Stop warming around 1.5 °C: All nations together, and each nation, should drop emissions by 17% per year — 8,000 Megatonnes of CO2 Equivalent per Year.
  • To achieve Net Zero in 2050 and to stop warming at ~1.7 °C: All nations should together, and each nation, should drop emissions by 4% per year — 2,100 Megatonnes of CO2 Equivalent per Year.
  • Additionally, to return warming to pre-industrial levels almost all human-induced CO2 has to be taken out of the atmosphere.

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About the Data

The last available year in all the emission datasets is 2023. CO2 emissions data is from the Global Carbon Project. It contains national CO2 emissions from fossil sources and land-use change. Emissions from CH4, N2O and F-gases come from the PRIMAP-Hist dataset. It is a rich dataset that combines several published sources to create a historical emissions time series for various greenhouse gases. Population data are also from Global Carbon Project where available, however, for many nations it doesn't have historic population going back to 1850. Those historic gaps are filled with population data from Our World in Data.

The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.

Data Sources

Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.

PRIMAP-hist The PRIMAP-hist national historical emissions time series (1750-2023)
Update cycle: Every few monthsDelay: Less than 1 yearCredits: Gütschow, Johannes; Busch, Daniel; Pflüger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo.

Our World in Data Population - Our World in Data
Update cycle: YearlyDelay: 7 monthsCredits: HYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in Data